You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.

command-r-plus-08-2024 by Cohere is a text model with a 128,000 token context. It analyzes long documents and answers questions about them, helps with code and analytics, and calls external tools. Suitable for RAG scenarios, working with knowledge bases, and agent systems via a unified API.

The model outputs up to 4,000 tokens per response, which is roughly several pages of text. It can read much more: the context is 128,000 tokens. If you need a large document, request it in parts or ask it to continue from where it left off.

A separate reasoning mode before answering is not noted in our data. However, you can set it via a prompt: ask it to break down the task step-by-step, list the initial conditions, and only then provide a conclusion. This significantly improves accuracy for complex logic and calculations.

Yes, function calling and structured JSON output are confirmed capabilities of this model. It selects the necessary tool, passes arguments, and returns an answer according to a specified schema. Through the unified OpenAI-compatible BotHub API, this logic is easy to integrate into agents and backends, without VPN or foreign cards.

In addition to text, the model accepts images and documents as input: upload a file or image and ask it to analyze the content, extract data, or summarize. Audio and video are not accepted as input—there are separate models for them in BotHub, which you can switch to in the same window.

The language of prompts and responses is not specified in our data, so we will not make promises. It is more reliable to test it on your task: send a typical request, evaluate the result, and if it doesn't suit you, switch to another model in the same window without rewriting the integration.